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International Conference on Information Technology for Balanced Automation Systems

BASYS 2006: Information Technology For Balanced Manufacturing Systems pp 385–394Cite as

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A Web-Based CSCW System for Remote Substation Fault Diagnosis

A Web-Based CSCW System for Remote Substation Fault Diagnosis

  • Hongsheng Su1,
  • Jianwu Dang1 &
  • Feng Zhao1 
  • Conference paper
  • 1170 Accesses

Part of the IFIP International Federation for Information Processing book series (IFIPAICT,volume 220)

Abstract

Relying on Computer Supported Collaborative Work (CSCW) technology, expert system (ES) can extend its capabilities from only one working to set up a cooperative labor environment for a group of expert systems working together. In order to more effectively support those remote substations fault diagnosis as well as related departments involvements. Web-based CSCW systems are intensively recommended. The paper for that proposes a framework of CSCW system with Web-based for remote substation fault diagnosis. The system applies Multi-Agent (MA) technology to construct distributed expert systems platform, and presents the collaboration and communication framework of the platform using J21EE. The system is applied in remote substation fault diagnosis, and is proved very effective.

Keywords

  • Expert System
  • Fault Diagnosis
  • User Agent
  • Foreign Agent
  • Java Virtual Machine

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. School of Information and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P.R. China

    Hongsheng Su, Jianwu Dang & Feng Zhao

Authors
  1. Hongsheng Su
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  2. Jianwu Dang
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  3. Feng Zhao
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© 2006 International Federation for Information Processing

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Cite this paper

Su, H., Dang, J., Zhao, F. (2006). A Web-Based CSCW System for Remote Substation Fault Diagnosis. In: Information Technology For Balanced Manufacturing Systems. BASYS 2006. IFIP International Federation for Information Processing, vol 220. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36594-7_41

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  • DOI: https://doi.org/10.1007/978-0-387-36594-7_41

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  • Print ISBN: 978-0-387-36590-9

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